Features

The ACM SIGKDD conference has established itself as the premier international conference on knowledge discovery and data mining. To continue with this tradition, the twelfth ACM SIGKDD conference will provide a forum for researchers and practitioners from academia, industry, and government to share their research and experience. The SIGKDD conference will feature keynote presentations, oral paper presentations, poster presentations, workshops, tutorials, and panels, as well as the KDD Cup competition. KDD-2006 will also award scholarships to selected students to help defray the cost of participating in the conference. Details will appear on the conference Web site as they become available.

Papers on all aspects of knowledge discovery and data mining are solicited. Areas of interest include, but are not limited to:

• Applications of data mining (biomedicine, business, e-commerce, defense)
• Data and result visualization
• Data warehousing
• Data mining for community generation, social network analysis, and graph-structured data
• Foundations of data mining
• Interactive and online data mining
• KDD framework and process
• Mining data streams
• Mining high-dimensional data
• Mining sensor data
• Mining text and semi-structured data
• Mining multi-media data
• Novel data mining algorithms
• Privacy and data mining
• Robust and scalable statistical methods
• Pre-processing and post-processing for data mining
• Security issues
• Spatial and temporal data mining

A separate call is being issued for industrial/government track papers; see the conference Web site at the URL above. Calls for workshop, tutorial and panel proposals can also be found at the conference Web site.

For submission details and organizers, see www.kdd2006.com